A novel approach is presented for fully automated boundary extraction and rectification of bony tissue from planar CT data. The approach extracts and rectifies feature boundary in a hierarchical fashion. It consists of a fuzzy multilevel thresholding operation, followed by a small void cleanup procedure. Then a binary morphological boundary detector is applied to extract the boundary. However, defective boundaries and undesirable artifacts may still be present. Thus two innovative anatomical knowledge based algorithms are used to remove the undesired structures and refine the erroneous boundary. Results of applying the approach on lumbar CT images are presented, with a discussion of the potential for clinical application of the approach.
|Journal||Proceedings of SPIE - the international society for optical engineering|
|Publication status||Published - 2000|
|Event||Medical Imaging 2000: Image Processing - San Diego, United States|
Duration: 14 Feb 2000 → 17 Feb 2000